Using CONN in a computer cluster environment
  
  CONN grid computing options allow you to process your subjects in parallel, with each subject, 
  or each of several smaller groups of subjects, being processed independently by a different 
  computer node. This can significantly increase the speed of your analyses, allowing you to 
  process hundreds of subjects in the time it would take to process just one or a few subjects.
  
  To use this functionality, each node in your cluster needs to be in a distributed environment 
  with access to:
  
  * Matlab, SPM, and CONN (or Matlab Runtime and a pre-compiled version of CONN)
  * The data folders containing your conn project and data.
  
  CONN supports natively the following cluster computing job schedulers:
  
  * Grid Engine (Sun/Oracle Grid Engine, Open Grid Scheduler, or compatible system)
  * PBS/Torque (Portable Batch System, or compatible)
  * LFS (Platform Load Sharing Facility, or compatible)
  * Slurm (Simple Linux Utility for Resource Management, or compatible)
  
  note: CONN will work out-of-the-box for many cluster configurations simply by selecting the appropriate
  job scheduler. In addition, profiles for other schedulers, or system-specific settings (e.g to increase
  your system default walltime settings, enter optional project or account ids, etc.), can be easily 
  created/edited in CONN Tools.GridSettings if necessary.
  
  To get started simply run CONN interactively in your computer cluster and select Tools.GridSettings, 
  where you can select and test your system job scheduler. If in doubt, contact your system administrator 
  to learn about your institution cluster computing options.
  
  After succesfully testing your cluster configuration, you can simply select the corresponding 
  parallelization option when running your analyses either through the GUI or using batch scripts
  and CONN will automatically:
  
     a) submit one or multiple jobs to your cluster
     b) allow you to easily track their progress and resubmit any failed jobs if necessary
     c) merge the results back into your conn project when they are ready